A Likelihood Ratio-Based Approach to Segmenting Unknown Objects.
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| Title: | A Likelihood Ratio-Based Approach to Segmenting Unknown Objects. |
|---|---|
| Authors: | Nayal, Nazir1,2 (AUTHOR) nnayal21@ku.edu.tr, Shoeb, Youssef3,4 (AUTHOR) youssef.shoeb@continental.com, Güney, Fatma1,2 (AUTHOR) fguney@ku.edu.tr |
| Source: | International Journal of Computer Vision. Oct2025, Vol. 133 Issue 10, p6860-6872. 13p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 188627357 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=188627357 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11263-025-02509-0 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 6860 Titles: – TitleFull: A Likelihood Ratio-Based Approach to Segmenting Unknown Objects. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Nayal, Nazir – PersonEntity: Name: NameFull: Shoeb, Youssef – PersonEntity: Name: NameFull: Güney, Fatma IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: Oct2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 09205691 Numbering: – Type: volume Value: 133 – Type: issue Value: 10 Titles: – TitleFull: International Journal of Computer Vision Type: main |
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